Yang Lei

7.5k citations

250 papers · 5.4k · 4 hit papers · h-index 38

Impact in

Radiation top 0.2%
- Advanced Radiotherapy Techniques
Radiology, Nuclear Medicine and Imaging top 0.2%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications

Papers in

Radiology, Nuclear Medicine and Imaging 119
- Medical Imaging Techniques and Applications 82
- Radiomics and Machine Learning in Medical Imaging 59
Radiation 95
- Advanced Radiotherapy Techniques 88

Co-authors: Xiaofeng Yang (221 shared papers)Walter J. Curran (177 shared papers)Tonghe Wang (174 shared papers)Yabo Fu (48 shared papers)Tian Liu (89 shared papers)Pretesh Patel (75 shared papers)Tian Liu (26 shared papers)Tian Liu (47 shared papers)
Journals: Medical Physics (41 papers)Physics in Medicine and Biology (32 papers)International Journal of Radiation Oncology*Biology*Physics (15 papers)Journal of Applied Clinical Medical Physics (7 papers)Frontiers in Oncology (3 papers)
Partner nations: United States China Canada

In The Last Decade

Yang Lei

241 papers receiving 5.3k citations

Yang Lei's Hit Papers

align trajectories log scale

A review of deep learning based methods for medical image multi-organ segmentation 2021 · 159 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Physica Medica
2020 Physics in Medicine and Biology
2019 Medical Physics
2019 Medical Physics

Peers

Countries citing papers authored by Yang Lei

Since Specialization

Citations

This map shows the geographic impact of Yang Lei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Lei more than expected).

Fields of papers citing papers by Yang Lei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Lei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Lei. The network helps show where Yang Lei may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang Lei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Lei Line = papers co-authored together Yang Lei links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 250 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning in medical image registration: a review Physics in Medicine and Biology ·Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2020	441
2	Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN Medical Physics ·Xue Dong, Yang Lei, Tonghe Wang, M.A. Thomas, Leonardo Tang, Walter J. Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2019	214
3	MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks Medical Physics ·Yang Lei, Joseph Harms, Tonghe Wang, Yingzi Liu, Hui‐Kuo G. Shu, Ashesh B. Jani, Walter J. Curran, Hui Mao, Tian Liu, Xiaofeng Yang	2019	211
4	Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography Medical Physics ·Joseph Harms, Yang Lei, Tonghe Wang, Rongxiao Zhang, Jun Zhou, Xiangyang Tang, Walter J. Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2019	207
5	A review on medical imaging synthesis using deep learning and its clinical applications Journal of Applied Clinical Medical Physics ·Tonghe Wang, Yang Lei, Yabo Fu, Jacob Wynne, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	180
6	Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation Medical Physics ·(unknown), Yang Lei, Sibo Tian, Tonghe Wang, Yingzi Liu, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang	2019	159
7	A review of deep learning based methods for medical image multi-organ segmentation Physica Medica ·Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2021	159
8	CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy Medical Physics ·Yingzi Liu, Yang Lei, Tonghe Wang, Yabo Fu, Xiangyang Tang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang	2020	155
9	Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging Physics in Medicine and Biology ·Xue Dong, Yang Lei, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathon A. Nye, Xiaofeng Yang	2019	103
10	Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network Radiotherapy and Oncology ·Xue Dong, Yang Lei, Sibo Tian, Tonghe Wang, Pretesh Patel, Walter J. Curran, Ashesh B. Jani, Tian Liu, Xiaofeng Yang	2019	103
11	Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net Medical Physics ·Yang Lei, Sibo Tian, Xiuxiu He, Tonghe Wang, Bo Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang	2019	98
12	Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging Physics in Medicine and Biology ·Xue Dong, Tonghe Wang, Yang Lei, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathon A. Nye, Xiaofeng Yang	2019	97
13	Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN Medical Physics ·Yang Lei, Xiuxiu He, Jincao Yao, Tonghe Wang, Lijing Wang, Wei Li, Walter J. Curran, Tian Liu, Dong Xu, Xiaofeng Yang	2020	97
14	LungRegNet: An unsupervised deformable image registration method for 4D‐CT lung Medical Physics ·Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	92
15	Whole-body PET estimation from low count statistics using cycle-consistent generative adversarial networks Physics in Medicine and Biology ·Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathon A. Nye, Xiaofeng Yang	2019	79
16	MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method Physics in Medicine and Biology ·Yingzi Liu, Yang Lei, Yinan Wang, Tonghe Wang, Lei Ren, Liyong Lin, Mark W. McDonald, Walter J. Curran, Tian Liu, Jun Zhou, Xiaofeng Yang	2019	74
17	Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods Physica Medica ·Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Jonathon A. Nye, Xiaofeng Yang	2020	72
18	A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study Journal of Nuclear Cardiology ·Tonghe Wang, Yang Lei, Haipeng Tang, Zhuo He, Richard Castillo, Cheng Wang, Dianfu Li, Kristin Higgins, Tian Liu, Walter J. Curran, Weihua Zhou, Xiaofeng Yang	2019	71
19	CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network Medical Physics ·Yang Lei, Xue Dong, Zhen Tian, Yingzi Liu, Sibo Tian, Tonghe Wang, Xiaojun Jiang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang	2019	68
20	4D-CT deformable image registration using multiscale unsupervised deep learning Physics in Medicine and Biology ·Yang Lei, Yabo Fu, Tonghe Wang, Yingzi Liu, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	66

About Yang Lei

Yang Lei is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 250 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (88 papers), Medical Imaging Techniques and Applications (82 papers), Radiomics and Machine Learning in Medical Imaging (59 papers), Advanced X-ray and CT Imaging (56 papers), Medical Image Segmentation Techniques (26 papers), Advanced Neural Network Applications (26 papers), Medical Imaging and Analysis (20 papers) and Prostate Cancer Diagnosis and Treatment (16 papers). The work is most often cited by research in Radiation (1.5k citations), Radiology, Nuclear Medicine and Imaging (2.6k citations), Health Informatics (97 citations), Computer Vision and Pattern Recognition (1.3k citations) and Neurology (256 citations). Yang Lei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiaofeng Yang, Walter J. Curran, Tonghe Wang, Yabo Fu, Tian Liu, Pretesh Patel, Tian Liu, Tian Liu, Hui Mao and Ashesh B. Jani. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics and Frontiers in Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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